I. Kureshi
Towards an Info-Symbiotic Decision Support System for Disaster Risk Management
Kureshi, I.; Theodoropoulos, G.; Mangina, E.; O'Hare, G.; Roche, J.
Authors
G. Theodoropoulos
E. Mangina
G. O'Hare
J. Roche
Abstract
This paper outlines a framework for an info-symbiotic modelling system using cyber-physical sensors to assist in decision-making. Using a dynamic data-driven simulation approach, this system can help with the identification of target areas and resource allocation in emergency situations. Using different natural disasters as exemplars, we will show how cyber-physical sensors can enhance ground level intelligence and aid in the creation of dynamic models to capture the state of human casualties. Using a virtual command & control centre communicating with sensors in the field, up-to-date information of the ground realities can be incorporated in a dynamic feedback loop. Using other information (e.g. Weather models) a complex and rich model can be created. The framework adaptively manages the heterogeneous collection of data resources and uses agent-based models to create what-if scenarios in order to determine the best course of action.
Citation
Kureshi, I., Theodoropoulos, G., Mangina, E., O'Hare, G., & Roche, J. (2015). Towards an Info-Symbiotic Decision Support System for Disaster Risk Management. In 2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT 2015) : 14-16 October 2015 Chengdu, Sichuan, China ; proceedings (85-91). https://doi.org/10.1109/ds-rt.2015.26
Conference Name | 2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT) |
---|---|
Conference Location | Chengdu, China |
Start Date | Oct 14, 2015 |
End Date | Oct 16, 2015 |
Publication Date | Oct 1, 2015 |
Deposit Date | Apr 21, 2016 |
Publicly Available Date | Apr 28, 2016 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 85-91 |
Series ISSN | 1550-6525 |
Book Title | 2015 IEEE/ACM 19th International Symposium on Distributed Simulation and Real Time Applications (DS-RT 2015) : 14-16 October 2015 Chengdu, Sichuan, China ; proceedings. |
DOI | https://doi.org/10.1109/ds-rt.2015.26 |
Additional Information | Date of Conference: 14-16 October 2015 |
Files
Accepted Conference Proceeding
(1.6 Mb)
PDF
Copyright Statement
© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
You might also like
Efficient Comparison of Massive Graphs Through The Use Of 'Graph Fingerprints'
(2016)
Conference Proceeding
Towards large-scale what-if traffic simulation with exact-differential simulation
(2015)
Conference Proceeding
Data Quality Assessment and Anomaly Detection Via Map / Reduce and Linked Data: A Case Study in the Medical Domain
(2015)
Conference Proceeding
Fast Compression of Large Semantic Web Data using X10
(2015)
Journal Article
Exact-Differential Large-Scale Traffic Simulation
(2015)
Conference Proceeding
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search